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María E. Dillon, Yanina García Skabar, Juan Ruiz, Eugenia Kalnay, Estela A. Collini, Pablo Echevarría, Marcos Saucedo, Takemasa Miyoshi, and Masaru Kunii

multianalysis, multimodel, and multiphysics configurations, providing useful and critical information to forecasters across the North American domain ( Du et al. 2014 ). Moreover, additional spread provided by the multischeme approach is state dependent (e.g., additional ensemble spread will be larger in areas where a particular parameterization is active, for example, over a heavy convective rain situation). In addition, multischeme ensembles tend to have lower biases than ensembles that use one single

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